Persistence and Checkpointing: Time Travel and Recovery for LLM Agents
·8 min·AI
A long-running agent that loses its state on the next deploy is not a production system. Checkpointing saves agent state after every step, enabling conversational memory, human-in-the-loop pauses, time travel for debugging, and fault-tolerant resumption.
